Science, Tech, Math › Science How to Do a Science Fair Project Design a Project & Collect Data Share Flipboard Email Print Andrew Brookes / Getty Images Science Chemistry Projects & Experiments Basics Chemical Laws Molecules Periodic Table Scientific Method Biochemistry Physical Chemistry Medical Chemistry Chemistry In Everyday Life Famous Chemists Activities for Kids Abbreviations & Acronyms Biology Physics Geology Astronomy Weather & Climate By Anne Marie Helmenstine, Ph.D. Chemistry Expert Ph.D., Biomedical Sciences, University of Tennessee at Knoxville B.A., Physics and Mathematics, Hastings College Dr. Helmenstine holds a Ph.D. in biomedical sciences and is a science writer, educator, and consultant. She has taught science courses at the high school, college, and graduate levels. our editorial process Facebook Facebook Twitter Twitter Anne Marie Helmenstine, Ph.D. Updated January 03, 2019 Okay, you have a subject and you have at least one testable question. If you haven't done so already, make sure you understand the steps of the scientific method. Try to write down your question in the form of a hypothesis. Let's say your initial question is about determining the concentration required for salt to be tasted in water. Really, in the scientific method, this research would fall under the category of making observations. Once you had some data, you could go on to formulate a hypothesis, such as: "There will be no difference between the concentration at which all members of my family will detect salt in water." For elementary school science fair projects and possibly high school projects, the initial research may be an excellent project in itself. However, the project will be much more meaningful if you can form a hypothesis, test it, and then determine whether or not the hypothesis was supported. Write Down Everything Whether you decide on a project with a formal hypothesis or not, when you perform your project (take data), there are steps you can take to make the most of your project. First, write everything down. Gather your materials and list them, as specifically as you can. In the scientific world, it is important to be able to duplicate an experiment, especially if surprising results are obtained. In addition to writing down data, you should note any factors that could affect your project. In the salt example, it is possible that the temperature could affect my results (alter the solubility of salt, change the body's rate of excretion, and other factors I might not consciously consider). Other factors you might note could include relative humidity, the age of participants in my study, a list of medications (if anyone is taking them), etc. Basically, write down anything of note or potential interest. This information could lead your study in new directions once you start taking data. The information you take down at this point could make a fascinating summary or discussion of future research directions for your paper or presentation. Don't Discard Data Perform your project and record your data. When you form a hypothesis or seek the answer to a question, you probably have a preconceived idea of the answer. Don't let this preconception influence the data you record! If you see a data point that looks 'off', don't throw it out, no matter how strong the temptation. If you are aware of some unusual event that occurred when the data was being taken, feel free to make a note of it, but don't discard the data. Repeat the Experiment To determine the level at which you taste salt in water, you can keep adding salt to water until you have a detectable level, record the value, and move on. However, that single data point will have very little scientific significance. It is necessary to repeat the experiment, perhaps several times, to achieve significant value. Keep notes on the conditions surrounding a duplication of an experiment. If you duplicate the salt experiment, perhaps you would get different results if you kept tasting salt solutions over and over than if you performed the test once a day over a span of several days. If your data takes the form of a survey, multiple data points might consist of many responses to the survey. If the same survey is resubmitted to the same group of people in a short time span, would their answers change? Would it matter if the same survey was given to a different, yet seemingly, a similar group of people? Think about questions like this and take care in repeating a project.